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CVE-2026-61103 is a vulnerability in the Security component of Oracle PeopleSoft Enterprise CS Campus Community, affecting version 9.2.38. The flaw stems from inadequate authentication and access control checks applied to inbound requests arriving via the physical communication segment attached to the hardware where the PeopleSoft instance executes. An unauthenticated attacker who gains access to the same physical network segment as the target system can exploit this weakness without providing any credentials. The attack complexity is high because the adversary must first establish physical or layer‑2 adjacency to the server’s network infrastructure, which often requires proximity to the data center or compromise of an adjacent network device. Once this condition is met, the attacker can craft malicious packets that bypass the Security component’s authorization routines, effectively impersonating a trusted internal client.
The root cause lies in CWE‑285 (Improper Authorization) – the product does not perform or incorrectly performs an authorization check when an actor attempts to access a resource or perform an action. Specifically, the Security component fails to validate whether an incoming request from the local network segment has been properly authenticated, allowing unauthenticated actors to read critical data, including student records, financial information, and institutional documents. Moreover, the attacker can perform unauthorized insert, update, or delete operations on a subset of accessible data, leading to partial integrity corruption. The CVSS v3.1 base score is 5.9 (Medium), with the vector AV:A/AC:H/PR:N/UI:N/S:U/C:H/I:L/A:N, indicating high confidentiality impact, low integrity impact, and no availability impact. Although the vulnerability is difficult to exploit due to the physical adjacency requirement, the potential damage to data privacy and trust makes it a significant concern for educational institutions and government agencies that rely on PeopleSoft Campus Community for daily operations.
Oracle acknowledged the issue and addressed it in the July 2026 Critical Patch Update (CPUJuly2026). The fix reinforces the authentication and access control logic for requests originating from the physical network segment, effectively blocking unauthenticated access from adjacent network nodes. Organizations are strongly advised to apply the patch immediately or implement compensating controls such as network segmentation, strict ACLs, and 802.1X port security to mitigate the risk until patching can be completed.
DailyCVE Form:
Platform: Oracle PeopleSoft Enterprise
Version: 9.2.38
Vulnerability: Improper Authorization (CWE‑285)
Severity: Medium (CVSS 5.9)
date: 2026‑07‑21
Prediction: 2026‑07‑21 (CPUJuly2026)
What Undercode Say
Below are practical bash commands and code snippets that system administrators can use to detect potential indicators of this vulnerability, audit network access, and verify patch status.
Check PeopleSoft version and applied patches:
Query the PeopleTools release and applied CPU patches psadmin -c version grep -i "cpu" $PS_HOME/setup/pscfg.log | grep -i "july2026"
Audit network interfaces and listening ports on the PeopleSoft server:
List all active network interfaces and their IP addresses ip addr show | grep -E "inet|ether" Identify services listening on the local network (port 8000, 7001, etc.) ss -tulpn | grep -E "8000|7001|443|80" | grep -v "127.0.0.1"
Simulate an unauthenticated request from the same subnet (for testing only):
Craft a simple HTTP GET request to a sensitive PeopleSoft endpoint curl -v --interface eth0 --header "Host: peoplesoft.internal" \ http://<PEOPLESOFT_IP>:8000/psp/CS/EMPLOYEE/HRMS/?cmd=login
Check for unusual ARP or MAC address changes (possible layer‑2 spoofing):
Monitor ARP table for unexpected entries arp -a | grep -v "incomplete" | sort -k2 Enable ARP watch (requires arpwatch package) sudo arpwatch -i eth0
Verify that the CPUJuly2026 patch is installed:
Search for the specific bug fix ID in PeopleSoft patch inventory opatch lsinventory | grep -i "61103" opatch lsinventory | grep -i "july2026"
Python script to test for missing authentication on local network:
!/usr/bin/env python3
import socket
import sys
target = sys.argv[bash] if len(sys.argv) > 1 else "192.168.1.100"
port = 8000
payload = b"GET /psp/CS/EMPLOYEE/HRMS/?cmd=login HTTP/1.1\r\nHost: peoplesoft\r\n\r\n"
s = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
s.settimeout(5)
try:
s.connect((target, port))
s.send(payload)
response = s.recv(4096)
if b"200 OK" in response or b"302" in response:
print("[!] Possible vulnerability - unauthenticated response received.")
else:
print("[+] Request rejected or redirected - likely patched.")
except Exception as e:
print(f"[-] Connection failed: {e}")
finally:
s.close()
Exploit
Successful exploitation of CVE‑2026‑61103 requires the attacker to be on the same physical network segment as the PeopleSoft server. This can be achieved by gaining physical access to the network infrastructure (e.g., plugging into an unsecured switch port), compromising a network device such as a router or firewall, or using ARP spoofing to redirect traffic. Once positioned, the attacker sends crafted HTTP or proprietary PeopleSoft protocol requests directly to the server’s IP address without any authentication headers. Due to the missing access control checks in the Security component, the server processes these requests as if they originated from an internal trusted client, granting the attacker read access to sensitive records (student data, grades, financial aid) and write access to certain database tables (e.g., course enrollment, personal information). The attack does not require user interaction and can be automated using simple scripts or tools like curl, netcat, or custom Python sockets. Although the exploit is not publicly available as of the writing, the technical details are straightforward, and proof‑of‑concept code is expected to emerge shortly after disclosure.
Protection
- Apply the Oracle Critical Patch Update (CPUJuly2026) immediately. This is the primary and most effective fix, as it corrects the flawed authentication logic in the Security component.
- Enforce strict network segmentation. Isolate the PeopleSoft server in a dedicated VLAN with firewall rules that allow only authorized internal IP ranges and block all traffic from untrusted physical segments.
- Implement 802.1X port‑based authentication on all switch ports to prevent unauthorized devices from connecting to the network.
- Deploy intrusion detection/prevention systems (IDS/IPS) with custom signatures to detect anomalous requests to PeopleSoft endpoints from unexpected source MAC or IP addresses.
- Enable comprehensive logging for all PeopleSoft access attempts and monitor for failed authentication patterns or unusual data access.
- Restrict physical access to server rooms and network closets to authorized personnel only.
- Regularly audit ARP tables and use dynamic ARP inspection (DAI) to prevent spoofing attacks.
- Apply the principle of least privilege to database accounts used by PeopleSoft, limiting the impact of any potential data modification.
Impact
Successful exploitation leads to unauthorized disclosure of critical data (confidentiality impact: High), including student personally identifiable information (PII), academic records, financial aid details, and institutional research data. Attackers can also perform unauthorized insert, update, or delete operations on a subset of accessible data (integrity impact: Low), potentially altering enrollment records, grades, or personal contact information, which can disrupt academic operations and erode trust in the institution’s data management. There is no availability impact, meaning the system remains operational, but the integrity and confidentiality breaches can result in regulatory fines, legal liability, and reputational damage. The attack requires physical adjacency, which limits the pool of potential attackers, but once exploited, the consequences are severe, especially for large universities and government agencies that handle vast amounts of sensitive personal data.
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Sources:
Reported By: nvd.nist.gov
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